---
title: 'Engineering Manager - Data at Turvo'
canonical: 'https://feeny.ai/job/engineering-manager-data-turvo-hyderabad-0x5bz49g872r'
type: 'job'
last_seen: '2026-10-28'
---

# Engineering Manager - Data at Turvo

- **Company:** Turvo
- **Location:** Hyderabad, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.lever.co/turvo/4b7077f9-2069-43a1-bf87-e0a8735634fb

## Job description

About Turvo:

Turvo provides a collaborative Transportation Management System (TMS) application designed specifically for the supply chain. Turvo Collaboration Cloud connects freight brokers, 3PLs, shippers, and carriers to unite supply chain ecosystems, delivering outstanding customer experiences, real-time collaboration, and accelerated growth. The technology unifies internal and external systems, providing one end-to-end solution that streamlines operations, enhances analytics, and automates business processes while eliminating redundant manual tasks. Turvo’s customers include some of the world’s largest Fortune 500 logistics service providers and shippers as well as small to mid-sized freight brokers.

Turvo is based in Dallas, Texas, with offices in Hyderabad, India. ([www.turvo.com](http://www.turvo.com/)).

Responsibilities:

- Lead and grow a high-performing Data, Analytics, and AI/ML engineering team through hiring, mentoring, career development, and performance management.
- Own delivery for data platforms and intelligent products: streaming pipelines, ETL/ELT, data warehouse and lakehouse patterns, analytics APIs, and AI/ML-powered features (including automation, assistants, and retrieval-augmented workflows).
- Partner with Product Management, Data Science, Analytics, and business stakeholders to translate supply-chain and customer needs into scalable roadmaps, milestones, and measurable outcomes.
- Drive technical direction and standards for reliability, data quality, observability, security, and cost across batch and real-time systems.
- Oversee design and implementation of event-driven and streaming architectures (ingestion, processing, delivery) and warehouse-centric modeling for reporting, operational analytics, and ML feature consumption.
- Guide delivery of AI/ML engineering initiatives: model serving integration, vector search, embedding indexing, metadata and chunking strategies, evaluation, and safe rollout of automated/AI-assisted product capabilities.
- Establish engineering practices: code and design reviews, unit/integration/data pipeline testing, CI/CD for data and ML workloads, documentation, and runbooks.
- Collaborate with platform, application, and infrastructure teams on PostgreSQL and other data stores, service boundaries, SLAs, and cross-team integrations.
- Remove blockers, balance priorities, and improve team velocity while maintaining high quality and predictable releases across the SDLC (including coordination with QA and project/delivery partners).
- Act as a technical thought leader and default mentor for engineers on data engineering, analytics engineering, and ML systems—raising the bar on architecture, implementation, and operational excellence.

Qualifications:

- 10+ years of hands-on experience building and operating data-intensive, distributed systems, with a track record of scaling teams and platforms (horizontally and vertically).
- 3+ years leading engineers (or equivalent scope) in data engineering, analytics engineering, ML engineering, or platform/data teams.
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- Strong programming background in Java and/or Python; experience with microservices, Spring (where applicable), and service-oriented design.
- Deep experience with data streaming (e.g., Kafka or similar), ETL/ELT, orchestration, and cloud data warehouses (e.g., Snowflake, BigQuery, Redshift, or comparable).
- Hands-on experience with PostgreSQL and MongoDB—modeling, query patterns, performance tuning, and operating them in production (including analytics, operational, or document-oriented workloads).
- Experience shipping AI/ML or LLM-enabled products in production: pipelines, feature patterns, vector databases/search, embedding indexing, and integration with application APIs.
- Understanding of MLOps / LLMOps basics: versioning, monitoring, evaluation, guardrails, and incident response for data and model-backed services.
- Comfort with unit testing, data quality checks, and software engineering best practices in polyglot data/ML codebases.
- Excellent communication and cross-functional leadership; able to simplify complex data and AI concepts for product and business partners.

Nice to have:

- Hibernate or ORM-heavy Java services integrated with data platforms.
- Supply chain, logistics, or B2B SaaS domain experience.
- Exposure to dbt, Spark, Flink, Airflow/Dagster, or similar modern data stack tools.

## About Turvo

## Company Overview
- **One-liner**: Turvo provides a cloud-based collaborative transportation management system (TMS) that connects shippers, brokers, 3PLs, and carriers to digitize and streamline supply chain operations.
- **Entity Type**: Private (acquired by Lineage Logistics in 2022; operates independently)
- **Headquarters**: Dallas, Texas, United States (with an office in Sunnyvale, California)
- **Founded**: 2014
- **Founders**: Not publicly available (not disclosed in provided sources)

## Core Business
- **Primary industry**: Transportation, Logistics, Supply Chain & Storage
- **Target customers**: B2B – freight brokers, 3PLs, shippers, and carriers
- **Mission/purpose**: “Reimagining the supply chain” by disrupting a centuries-old industry with intuitive, collaborative technologies that connect every stakeholder in every transaction.

## Products & Services
- **Turvo Collaboration Cloud**: SaaS platform that unifies people, processes, and data across the supply chain, enabling real-time visibility and communication.
- **Transportation Management Software (TMS)**: Automates order-to-shipment activities, eliminates manual check-calls, and provides live tracking and predictive planning.
- **Inventory**: Data-driven inventory management for real-time fleet status.
- **Orders**: Centralized order management to improve customer service and repeat business.
- **Shipments**: 24/7 tracking with automated tools to reduce labor costs.
- **Scheduler**: Optimized appointment scheduling with real-time movement updates.
- **Analytics**: Actionable insights for day-to-day and strategic decisions.
- **Driver**: Telematics integration for complete delivery visibility.
- **Integrations**: Connects WMS, TMS, ERP, load boards, freight rates, and other systems.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual revenue of ~$19M (LinkedIn estimate); total funding of $91.6M across three rounds
- **Notable Investors/Partners**: Mubadala Capital Ventures (led Series B), Felicis (led Seed), Activant Capital (led Series A); partners include MileMaker, Oko, and Optym; parent company Lineage Logistics
- **Growth Signals**: Headcount of 123 employees (‑22.2% YoY); recent executive hires – Pushkar Deshpande (SVP of Product, May 2025); customer wins with Jones Logistics, West Michigan Transport; active job postings for AI-focused roles

## Competitive Advantages
- **Unique collaboration layer** that unifies all stakeholders (brokers, shippers, carriers) in a single view, reducing manual updates by 50% and enabling 3× more revenue and 5× more shipments.
- **Real-time intelligence and predictive planning** across the entire supply chain.
- **Deep integration ecosystem** connecting existing WMS, ERP, and other logistics tools.
- **Cloud-native architecture** that scales with customer growth.

## Strategic Focus
- Accelerating platform innovation and global growth, with a strong push into AI-powered features (e.g., AI-based software engineering roles).
- Strengthening partnerships and expanding integrations to further digitize the logistics industry.
- Enhancing customer experience through automated, data-driven solutions that reduce inefficiencies.

## Why Work Here
- **Culture**: “Collaboration is in our DNA” – a mission-driven team of entrepreneurs and engineers passionate about transforming logistics.
- **Work environment**: Offices in Dallas and Sunnyvale; hybrid/remote policy not explicitly stated but the company empowers “organizations to work as one team from anywhere.”
- **Benefits**: Competitive salary, health/dental/vision/life insurance, 401k with employer match, paid parental leave, monthly wellness day, learning & development opportunities.
- **Engineering culture**: Agile and tech-proficient, drawing expertise from both consumer and enterprise worlds; currently hiring for AI, senior software engineering, and test engineering roles.

## Sources
1. [turvo.com](https://turvo.com/) – Product and company overview
2. [turvo.com/careers](https://turvo.com/careers/) – Open positions and company description
3. [jobs.lever.co](https://jobs.lever.co/turvo) – Job postings and hiring process notes
4. [turvo.com/our-culture](https://turvo.com/our-culture/) – Culture, values, and benefits
5. [linkedin.com](https://www.linkedin.com/company/turvoinc) – Company financials, funding, headcount, and recent news

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